FAWP Dashboard — Streamlit App

A five-tab visual tool for interactive FAWP analysis.

Installation

pip install 'fawp-index[dashboard]'

Or install dependencies manually:

pip install fawp-index streamlit matplotlib yfinance

Launch

# Via entry point (after pip install):
fawp-dashboard

# Custom port:
fawp-dashboard --port 8502

# Via Streamlit directly (from repo):
cd dashboard
streamlit run app.py

Tabs

🔍 Scanner

• KPI cards: assets scanned, FAWP active count, highest score
• Ranked table with color-coded FAWP flags
• Inline threshold alerts

📈 Curves

• Per-asset regime score time series
• MI curves (pred vs steer) for any selected window
• Leverage gap bar chart (τ-wise)
• Window statistics JSON panel

🟥 Heatmap

• Regime score heatmap (assets × timeframes)
• Peak leverage gap heatmap

🔬 Significance

• Bootstrap significance test for any selected asset
• p-value display + bootstrap distribution plots

💾 Export

• Download watchlist CSV / JSON / HTML
• Per-asset scan CSVs

Data sources

Source	How
Demo data	Built-in (5 synthetic assets, 600 bars)
Upload CSV	One file per asset (Close + optional Volume)
yfinance	Enter ticker symbols + period

Deploy to Streamlit Cloud

1. Push the repo to GitHub (dashboard/ is already included)
2. Go to share.streamlit.io
3. Point to dashboard/app.py
4. Use dashboard/requirements.txt